Administrator
|
Having been a Physicist years ago, I'd gotten fairly proficient in
Math. But having spent a career in technology, I've gotten quite rusty. So I'm looking for getting my math skills back on line. I've found a few interesting books that are reviews of most of undergraduate math: Mathematical Techniques D. W. Jordan, Peter Smith http://tinyurl.com/dz5qw All the Mathematics You Missed : But Need to Know for Graduate School Thomas A. Garrity http://tinyurl.com/98rsm Math Refresher for Scientists and Engineers John R. Fanchi http://tinyurl.com/c6ybw These are all quite good in their own unique ways. Does anyone else have hints for getting back online? Doesn't have to be a single book, a series would be fine. Even on-line courses could work. But alas, Santa Fe, though great for complexity and great folks, has no university that would help. Maybe Albuquerque's UNM? Thanks! -- Owen Owen Densmore http://backspaces.net - http://redfish.com - http://friam.org |
Thanks for these links - not for myself, as I have kept my
mathematical machinery reasonably well oiled, but for the readers of my book. I demand a certain amount of mathematical facility from them (hopefully only high school level), but it would be good to point them at free internet resources for when they feel inadequate. Any further ideas greatly appreciated. I find wikipedia also useful. Cheers On Sat, Oct 08, 2005 at 03:07:02PM -0600, Owen Densmore wrote: > Having been a Physicist years ago, I'd gotten fairly proficient in > Math. But having spent a career in technology, I've gotten quite > rusty. So I'm looking for getting my math skills back on line. > > I've found a few interesting books that are reviews of most of > undergraduate math: > > Mathematical Techniques D. W. Jordan, Peter Smith > http://tinyurl.com/dz5qw > > All the Mathematics You Missed : But Need to Know for Graduate School > Thomas A. Garrity > http://tinyurl.com/98rsm > > Math Refresher for Scientists and Engineers John R. Fanchi > http://tinyurl.com/c6ybw > > These are all quite good in their own unique ways. > > Does anyone else have hints for getting back online? Doesn't have to > be a single book, a series would be fine. Even on-line courses could > work. But alas, Santa Fe, though great for complexity and great > folks, has no university that would help. Maybe Albuquerque's UNM? > > Thanks! > > -- Owen > > Owen Densmore > http://backspaces.net - http://redfish.com - http://friam.org > > > > ============================================================ > FRIAM Applied Complexity Group listserv > Meets Fridays 9:30a-11:30 at ad hoc locations > Lecture schedule, archives, unsubscribe, etc.: > http://www.friam.org -- *PS: A number of people ask me about the attachment to my email, which is of type "application/pgp-signature". Don't worry, it is not a virus. It is an electronic signature, that may be used to verify this email came from me if you have PGP or GPG installed. Otherwise, you may safely ignore this attachment. ---------------------------------------------------------------------------- A/Prof Russell Standish Phone 8308 3119 (mobile) Mathematics 0425 253119 (") UNSW SYDNEY 2052 R.Standish at unsw.edu.au Australia http://parallel.hpc.unsw.edu.au/rks International prefix +612, Interstate prefix 02 ---------------------------------------------------------------------------- |
In reply to this post by Owen Densmore
Owen Densmore wrote: > Having been a Physicist years ago, I'd gotten fairly proficient in > Math. But having spent a career in technology, I've gotten quite > rusty. So I'm looking for getting my math skills back on line. > ... > > Does anyone else have hints for getting back online? Same thing I'd suggest for programming: pick a project and do it with the math you're relearning. Almost as good would be to do the problems at the end of the chapters. You don't really learn the stuff until you have to use it. So, maybe re-read some of your old physics texts, and do a physics problem or two that will exercise your math skills. Just my two cents, Martin |
In reply to this post by Owen Densmore
Owen -
One approach is to try taking yourself in some particular (new) direction, that is likely to push you to have (relevant) "better Math chops" in order to understand the stuff . . . When you get stuck, back up and find an appropriate source for the particular item at hand. Part of the difficulty is that traditional "mathematical maturity" (e.g., Calc I, II, III, ODE, PDE, Linear Algebra, Prob./ Stats., Complex Variables . . .) may not really be what's necessary in particular for the specifics at issue . . . I've been working my way through Bernt Oksendal's "Stochastic Differential Equations," and N.V. Krylov's "Introduction to the Theory of Random Processes" . . . A related approach is to work through a book that just casually uses a bunch of relevant maths, where they can be seen in context. I like Hamming's "Coding and Information Theory", Rieke (et al.) "Spikes" (particularly the appendix stuff), Denny and Gaines' "Chance in Biology," and Bar-Yam's "Dynamics of Complex Systems" (full text online at http://necsi.org/publications/dcs/ ) as examples . . . tom On Oct 8, 2005, at 2:07 PM, Owen Densmore wrote: > Having been a Physicist years ago, I'd gotten fairly proficient in > Math. But having spent a career in technology, I've gotten quite > rusty. So I'm looking for getting my math skills back on line. > > I've found a few interesting books that are reviews of most of > undergraduate math: > > Mathematical Techniques D. W. Jordan, Peter Smith > http://tinyurl.com/dz5qw > > All the Mathematics You Missed : But Need to Know for Graduate School > Thomas A. Garrity > http://tinyurl.com/98rsm > > Math Refresher for Scientists and Engineers John R. Fanchi > http://tinyurl.com/c6ybw > > These are all quite good in their own unique ways. > > Does anyone else have hints for getting back online? Doesn't have to > be a single book, a series would be fine. Even on-line courses could > work. But alas, Santa Fe, though great for complexity and great > folks, has no university that would help. Maybe Albuquerque's UNM? > > Thanks! > > -- Owen > > Owen Densmore > http://backspaces.net - http://redfish.com - http://friam.org > > > > ============================================================ > FRIAM Applied Complexity Group listserv > Meets Fridays 9:30a-11:30 at ad hoc locations > Lecture schedule, archives, unsubscribe, etc.: > http://www.friam.org > |
In reply to this post by Owen Densmore
Of course it all depends on what you want to do with math.
I liked Garrity's book -- it covers lots of ground and entices you to learn more. I am reading Roger Penrose The Road to Reality It claims to teach you all the math you need (starting with Pythhagorean theorem and logs) in order to understand all of the modern physics theories including quantum field and strings. I don't actually like it because of his insistent Platonism, but it is entertaining. Another route is Eric Weisstein's Mathworld and another is Maple or Mathematica. -Roger On Sat, 08 Oct 2005 15:07:02 -0600, Owen Densmore <owen at backspaces.net> wrote: > Having been a Physicist years ago, I'd gotten fairly proficient in > Math. But having spent a career in technology, I've gotten quite > rusty. So I'm looking for getting my math skills back on line. > > I've found a few interesting books that are reviews of most of > undergraduate math: > > Mathematical Techniques D. W. Jordan, Peter Smith > http://tinyurl.com/dz5qw > > All the Mathematics You Missed : But Need to Know for Graduate School > Thomas A. Garrity > http://tinyurl.com/98rsm > > Math Refresher for Scientists and Engineers John R. Fanchi > http://tinyurl.com/c6ybw > > These are all quite good in their own unique ways. > > Does anyone else have hints for getting back online? Doesn't have to > be a single book, a series would be fine. Even on-line courses could > work. But alas, Santa Fe, though great for complexity and great > folks, has no university that would help. Maybe Albuquerque's UNM? > > Thanks! > > -- Owen > > Owen Densmore > http://backspaces.net - http://redfish.com - http://friam.org > > > > ============================================================ > FRIAM Applied Complexity Group listserv > Meets Fridays 9:30a-11:30 at ad hoc locations > Lecture schedule, archives, unsubscribe, etc.: > http://www.friam.org |
Free forum by Nabble | Edit this page |